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1
The Rare Earth Elements: Demand, Global Resources, and Challenges for Resourcing Future Generations
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The Rare Earth Elements: Demand, Global Resources, and Challenges for Resourcing Future Generations

Goodenough, Kathryn M. ; Wall, Frances ; Merriman, David

Natural resources research (New York, N.Y.), 2018-04, Vol.27 (2), p.201-216 [Periódico revisado por pares]

New York: Springer US

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2
A Novel Multiple-Kernel Support Vector Regression Algorithm for Estimation of Water Quality Parameters
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A Novel Multiple-Kernel Support Vector Regression Algorithm for Estimation of Water Quality Parameters

Najafzadeh, Mohammad ; Niazmardi, Saeid

Natural resources research (New York, N.Y.), 2021-10, Vol.30 (5), p.3761-3775 [Periódico revisado por pares]

New York: Springer US

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3
Machine Learning of Mineralization-Related Geochemical Anomalies: A Review of Potential Methods
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Machine Learning of Mineralization-Related Geochemical Anomalies: A Review of Potential Methods

Zuo, Renguang

Natural resources research (New York, N.Y.), 2017-10, Vol.26 (4), p.457-464 [Periódico revisado por pares]

New York: Springer US

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4
Risk of Fluoride-Rich Groundwater on Human Health: Remediation Through Managed Aquifer Recharge in a Hard Rock Terrain, South India
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Risk of Fluoride-Rich Groundwater on Human Health: Remediation Through Managed Aquifer Recharge in a Hard Rock Terrain, South India

Karunanidhi, D. ; Aravinthasamy, P. ; Subramani, T. ; Roy, Priyadarsi D. ; Srinivasamoorthy, K.

Natural resources research (New York, N.Y.), 2020-08, Vol.29 (4), p.2369-2395 [Periódico revisado por pares]

New York: Springer US

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5
Deep Learning for Prediction of Water Quality Index Classification: Tropical Catchment Environmental Assessment
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Deep Learning for Prediction of Water Quality Index Classification: Tropical Catchment Environmental Assessment

Tiyasha ; Tung, Tran Minh ; Yaseen, Zaher Mundher

Natural resources research (New York, N.Y.), 2021-12, Vol.30 (6), p.4235-4254 [Periódico revisado por pares]

New York: Springer US

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6
Mapping Geochemical Anomalies Through Integrating Random Forest and Metric Learning Methods
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Mapping Geochemical Anomalies Through Integrating Random Forest and Metric Learning Methods

Wang, Ziye ; Zuo, Renguang ; Dong, Yanni

Natural resources research (New York, N.Y.), 2019-10, Vol.28 (4), p.1285-1298 [Periódico revisado por pares]

New York: Springer US

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7
Preparation of Continuous Silicate Fiber: Comparison of Natural Basalt and Artificial Stimulant with the Same Chemical Composition
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Preparation of Continuous Silicate Fiber: Comparison of Natural Basalt and Artificial Stimulant with the Same Chemical Composition

Liu, Changjiang ; Zhang, Hankun ; Guo, Ling ; Yuan, Zhao ; Wang, Ding ; Li, Hongchao ; Jiang, Letao ; Yang, Chuncheng

Natural resources research (New York, N.Y.), 2023-08, Vol.32 (4), p.1549-1558 [Periódico revisado por pares]

New York: Springer US

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8
Modeling of Multiphysical–Chemical Coupling for Coordinated Mining of Coal and Uranium in a Complex Hydrogeological Environment
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Modeling of Multiphysical–Chemical Coupling for Coordinated Mining of Coal and Uranium in a Complex Hydrogeological Environment

Zhang, Tong ; Yuan, Liang ; Yang, Ke ; Liu, Yang ; Wei, Fei ; Yu, Xiang

Natural resources research (New York, N.Y.), 2021-02, Vol.30 (1), p.571-589 [Periódico revisado por pares]

New York: Springer US

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9
Gas Emission and Soil Chemical Properties Associated with Underground Coal Fires, Wuda Coalfield, Inner Mongolia, China
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Gas Emission and Soil Chemical Properties Associated with Underground Coal Fires, Wuda Coalfield, Inner Mongolia, China

Wang, Haiyan ; Zhang, Junpeng ; Zhang, Lei ; Wang, Jiali ; Xu, Zuohui

Natural resources research (New York, N.Y.), 2020-12, Vol.29 (6), p.3973-3985 [Periódico revisado por pares]

New York: Springer US

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Laboratory Investigations of a New Method Using Pressure Stimulated Currents to Monitor Concentrated Stress Variations in Coal
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Laboratory Investigations of a New Method Using Pressure Stimulated Currents to Monitor Concentrated Stress Variations in Coal

Li, Dexing ; Wang, Enyuan ; Ju, Yunqiang ; Wang, Dongming

Natural resources research (New York, N.Y.), 2021-02, Vol.30 (1), p.707-724 [Periódico revisado por pares]

New York: Springer US

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